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Experiences on Developer Participation and Effort Estimation

Authors: Ekrem Kocaguneli; Ayse Tosun Misirli; Bora Caglayan; Ayse Basar Bener;

Experiences on Developer Participation and Effort Estimation

Abstract

Software effort estimation is critical for resource allocation and planning. Accurate estimates enable managers to distribute the workload among resources in a balanced manner. The actual workload of developers may be different from the values observed in project management tools. In this research, we provide a summary of our experiences regarding: a) effort estimation activities, b) the developer workload distribution through churn data and c) a method of using churn data to track estimation process. Our experience report depends on our collaborative work with our industry partners operating in various domains in Turkey. As a result, we observe that effort estimation is taken as an important topic. However, there is a large space for research to transfer the ad-hoc methods employed in industry to empirical ones. Interestingly, we observe that resource allocations based on initial estimates/plans do not conform to actual values. The common characteristic of developer contribution in different projects is: More than 80% of edits in code are performed by a small number of developers.

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Average
Average
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